naa a22 4500 510775446 CHVBK 20180411083228.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1134/S1075700713050122 doi (NATIONALLICENCE)springer-10.1134/S1075700713050122 Econometric methods for investigating dynamics indicators of the resource intensity in the domestic economy (tools and statistical results) [Elektronische Daten] [N. Suvorov, E. Balashova, O. Davidkova, G. Zenkova] The present paper is a continuation of [1], where theoretical and methodological issues concerning the construction of time series of indicators of the utilization of capital, labor, and material resources (or inverse indicators of resource intensity) were considered. The indicators were differentiated by the so-called "new” and "old” (previously created) elements of the productive apparatus. In the present paper, first of all, the issues concerning the implementation of the econometric methods formulated in [1] and their application to historical statistical data on output dynamics and utilization of productive resources, fixed capital, labor, and volumes of material costs in various sectors (types of economic activities) of the domestic economy are presented. Second, the mathematical apparatus developed in [1] is applied for evaluating the retrospective indicators of utilization of individual types of material resources. In other words, to put it in terms of the former Soviet or the present domestic statistics, the construction of accounting indicators of balance sheets of material resources in physical terms (using econometric methods) is discussed. Pleiades Publishing, Ltd., 2013 Suvorov N. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut Balashova E. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut Davidkova O. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut Zenkova G. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut Studies on Russian Economic Development Springer US; http://www.springer-ny.com 24/5(2013-09-01), 409-421 1075-7007 24:5<409 2013 24 11507 https://doi.org/10.1134/S1075700713050122 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1134/S1075700713050122 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Suvorov N. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut NATIONALLICENCE 700 1- Balashova E. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut NATIONALLICENCE 700 1- Davidkova O. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut NATIONALLICENCE 700 1- Zenkova G. Institute of Economic Forecasting, Russian Academy of Sciences, Moscow, Russia aut NATIONALLICENCE 773 0- Studies on Russian Economic Development Springer US; http://www.springer-ny.com 24/5(2013-09-01), 409-421 1075-7007 24:5<409 2013 24 11507 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer